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Sponsored Artificial Intelligence: A Modern Approach, Global Edition Artificial Intelligence: A Modern Approach, Global Edition

Author

Han-Jia Ye

h-index 36 View on Semantic Scholar

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Jul 2026

Bi-Compatible Task-Agnostic Feature Augmentation for Expansion-Based Class-Incremental Learning

This paper systematically identifies one of the fundamental challenges behind CIL, named feature collision, where the features learned by the current task-specific model may collide with those of the previous models, leading to forgetting of previously learned tasks and hindering the learning of new tasks.

Bowen Zheng, Zijun Shen, Da-Wei Zhou et al. · 0 citations
Preprint Aug 2026

ResiSpec: Enhancing Multi-Candidate Speculative Sampling via Residual Distribution Shaping

ResiSpec, a framework that strategically reforms the proposal distribution during verification to anchor the residual target mass within the draft model's high-confidence regions, prevents candidate obsolescence and achieves up to 1.92$\times$ speedup over state-of-the-art multi-candidate methods.

Zhi-Kai Chen, Jun Tao, Weihao Mao et al. · 0 citations

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